Open AccessAnalysis on Data Migration Strategies in Heterogeneous Databases
Author(s) -
S S Latha,
Pavan Kumar S
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-1344
Subject(s) - computer science , data migration , data transformation , database , data quality , focus (optics) , volume (thermodynamics) , transformation (genetics) , data system , data source , data integration , data mining , data warehouse , engineering , metric (unit) , biochemistry , operations management , physics , chemistry , optics , quantum mechanics , gene
Data required for a new application are frequently come from other existing application systems. If data required for the new application are available from existing systems and the volume of data is large, the necessary data should be migrated from the existing systems (source systems) to the new application (target system) instead of recreating those data for the target system. The Transformation of data is generally a necessary step in data migration because the data requirements and the architecture of the target system are different from that of the source systems. This paper surveys the data migration techniques which focus on improving the data quality between different types of databases.